Machine Learning News and Research

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New research may play key role in promoting greener future

For decades, scientists have been warning about potential future effects of global climate change, including more frequent wildfires, longer periods of drought, and sharp increases in the number, duration, and intensity of tropical storms.

16 Nov 2020

A review on innovative techniques and methodologies to complement plant control

Cultivators and livestock farmers are increasingly arranging innovative technical and scientific estimations with the aim to enhance agricultural sustainability, effectiveness, and plant health.

12 Nov 2020

Research team to develop new method for high throughput drug screening

Nuclear magnetic resonance (NMR) is an important tool in drug research, since it can quantify and spatially resolve binding of drugs to pathogens. So far, however, NMR has lacked the sensitivity and throughput to scan large libraries of drug candidates.

10 Nov 2020

Scientists develop machine learning algorithms to determine oil viscosity

A group of Skoltech scientists developed machine learning (ML) algorithms that can teach artificial intelligence (AI) to determine oil viscosity based on nuclear magnetic resonance (NMR) data.

6 Nov 2020

Researchers create “developmental atlas” to classify the neurons of fruit flies

Using machine learning and gene sequencing, scientists from New York University have designed a “developmental atlas” of gene expression in neurons to classify over 250,000 neurons in the brains of fruit flies.

5 Nov 2020

Researchers use AI tool to study the dynamics behind cancer, Alzheimer’s disease

With the help of artificial intelligence (AI), scientists from the University of Copenhagen have solved a crucial issue that, to date, has been a major barrier to significant protein research into the dynamics behind various diseases, like Parkinson’s, Alzheimer’s, cancer, and also in the development of novel gene-editing techniques and sustainable chemistry.

4 Nov 2020

Combination of microscopy and machine learning helps detect fossil pollen grains

Plant biology researchers at the University of Illinois and computer scientists at the University of California Irvine have developed a new method of fossil pollen identification through the combination of super-resolution microscopy and machine learning.

27 Oct 2020

Novel machine learning algorithm helps identify binding sites in drug targets

Scientists from the iMolecule group at Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) developed BiteNet, a machine learning (ML) algorithm that helps find drug binding sites, i.e. potential drug targets, in proteins.

27 Oct 2020

Study shows potential avenues of COVID-19 vulnerability in patients with diabetic kidney disease

People with diabetes -- especially the 20 to 40 percent with diabetic kidney disease -- are among the most at risk for serious complications and death from COVID-19.

27 Oct 2020

Research shows how a combination of images can help detect food security threats

New research shows how a combination of imagery from mobile phones, drones and satellites can be used to clamp down on banana threats.

23 Oct 2020

New collaboration to develop machine learning methods for chemical discovery

The discovery and formulation of new drugs, antivirals, antibiotics and in general chemicals with tailored properties is a long and painstaking process.

21 Oct 2020

Innovative machine learning concepts can help develop new drugs

Tandem mass spectrometry is a powerful analytical tool used to characterize complex mixtures in drug discovery and other fields.

15 Oct 2020

Researchers unravel molecular factors that drive severity of COVID-19

While most COVID-19 cases are asymptomatic or mild, severe complications associated with acute respiratory distress have led to more than one million deaths worldwide in just several months.

14 Oct 2020

Dynamic map shows how immune cells fight microbes and remember future infections

Scientists have plotted the activity of an unlimited number of genes in the immune cells of mice over the course of an infection.

14 Oct 2020

UMD researchers use AI tools to predict how and when proteins form different shapes

By applying natural language processing tools to the movements of protein molecules, University of Maryland scientists created an abstract language that describes the multiple shapes a protein molecule can take and how and when it transitions from one shape to another.

12 Oct 2020

Machine Learning News and Research

New research may play key role in promoting greener future

A review on innovative techniques and methodologies to complement plant control

Research team to develop new method for high throughput drug screening

Scientists develop machine learning algorithms to determine oil viscosity

Researchers create “developmental atlas” to classify the neurons of fruit flies

Researchers use AI tool to study the dynamics behind cancer, Alzheimer’s disease

Combination of microscopy and machine learning helps detect fossil pollen grains

Novel machine learning algorithm helps identify binding sites in drug targets

Study shows potential avenues of COVID-19 vulnerability in patients with diabetic kidney disease

Research shows how a combination of images can help detect food security threats

New collaboration to develop machine learning methods for chemical discovery

Innovative machine learning concepts can help develop new drugs

Researchers unravel molecular factors that drive severity of COVID-19

Dynamic map shows how immune cells fight microbes and remember future infections

UMD researchers use AI tools to predict how and when proteins form different shapes

New machine learning algorithms to analyze reams of RNA-based 'toehold' sequences

Deep learning-based technique could boost drug development

Research highlights the lack of data about lesser-known cannabis compounds

Researchers analyze individual cells to build an atlas of the human heart

Scientists use cryo-EM method to extract molecular data

Expert Insights: HiMedia Labs on Advancing Nucleic Acid Extraction Across Industries

Quorum Bio: Where Synthetic Biology Meets Sustainable Farming

Diagnostic Biochips: Pioneering Brain Research Tools for the Future

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